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- Introduced `TrimaVector` class for multi-period Triangular Moving Average (TRIMA) calculations, optimized for SIMD. - Implemented last-value substitution for invalid inputs in TRIMA. - Added methods for calculating TRIMA for entire series and individual updates. - Enhanced `Wma` class with periodic resync to prevent floating-point drift and introduced SIMD optimizations for performance. - Updated benchmark suite to include TRIMA calculations alongside existing SMA, EMA, and WMA benchmarks.
7 lines
161 B
Markdown
7 lines
161 B
Markdown
# todo
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- __DEMA__ (Double Exponential Moving Average)
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- __TEMA__ (Triple Exponential Moving Average)
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- __KAMA__ (Kaufman Adaptive Moving Average)
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- __T3__ (T3)
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